Abstract: Provided are antibodies or antigen-binding fragments thereof that binds to a complex comprising a WT1 peptide and a MHC molecule, and the related antibody-drug conjugate (ADC) derived therefrom, chimeric antigen receptor (CAR) derived therefrom, and the uses thereof.

Abstract: A load-aware scheduling method for an inference system is applied to a global scheduler in the inference system. The inference system further includes an inference engine. The inference engine includes at least one computing instance deployed on each computing node in a computing cluster. A computing resource of the computing instance includes a GPU provided on a computing node where the computing instance is located. The global scheduler maintains dynamically updated GPU load information of each computing instance. The method includes: obtaining a target inference request to be executed; determining a target computing instance whose GPU load satisfies a predetermined condition based on the maintained GPU load information of each computing instance; and sending the target inference request to the target computing instance, to cause the target computing instance to execute the target inference request.

Abstract: An audio processing method and an electronic apparatus are provided. The audio processing method is applied to a conference system, and the conference system includes at least one audio capturing device. The audio processing method includes: receiving at least one segment of audio captured by the at least one audio capturing device; determining voices of a plurality of targets in the at least one segment of audio; and performing voice recognition on a voice of each of the plurality of targets, to obtain semantics corresponding to the voice of each target. Voice recognition is separately performed on voices of different targets, thereby improving accuracy of voice recognition.

Abstract: The present disclosure provides a phosphorus-containing compound represented by Formula (1), a resin composition comprising the phosphorus-containing compound, and an article made from the resin composition. The phosphorus-containing compound can achieve halogen-free flame retardancy while satisfying the requirements of excellent dielectricity, high copper foil peeling strength, high glass transition temperature, low percent thermal expansion and excellent heat resistance after moisture absorption. The resin composition comprises the following components or a prepolymer thereof: (A) 100 parts by weight of an unsaturated C?C double bond-containing polyphenylene ether resin; and (B) 15 parts by weight to 90 parts by weight of the phosphorus-containing compound represented by Formula (1); wherein the prepolymer is obtained from a mixture through prepolymerization, and the mixture comprises at least the component (A) and the component (B).

Abstract: A beach erosion detection and quantitative calculation method based on unmanned aerial vehicle mapping is provided, including the following steps: S1, configuring unmanned aerial vehicles; S2, obtaining beach aerial image data in different periods by using the unmanned aerial vehicle; S3, delineating a plurality of sections on the beach, and extracting elevation data of the sections from the multi-period data by using the aerial images processed; S4, in order to unify the reference boundary of multi-period aerial photography data, a unified lowest water line is defined, and the upper boundary is the coastline; S5, automatically identifying and predicting factors affecting beach erosion; S6, performing real-time erosion prediction and future erosion trend simulation; S7, calculating the total amount of beach erosion, and comparing the sand amount in each grid to get the distribution characteristics of beach erosion change.

Abstract: Techniques for enforcing policy on multiple levels are disclosed. A multi-level policy includes at least one policy at a low level of abstraction and at least one policy at a high level of abstraction. An Internet of Things (IoT) device is discovered on a network. The IoT device is classified. The set of multi-level policies is applied to the IoT device based on the classification of the IoT device.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for tracking consumption rate of food in food containers. An example method includes capturing an image of a food station using an RGB camera, determining bounding boxes on the image that correspond to food containers in the food station, capturing an overall point cloud of the food station using a depth camera, cropping a point cloud for each food container from the overall point cloud based on the bounding boxes. Then for each food container, a volume of remaining food in the food container is determined based on the point cloud of the food container, and the food consumption information of the food containers is obtained by tracking volume changes of the remaining food in food containers.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.

Abstract: Identifying Internet of Things (IoT) devices with packet flow behavior including by using machine learning models is disclosed. A set of training data associated with a plurality of IoT devices is received. The set of training data includes, for at least some of the exemplary IoT devices, a set of time series features for applications used by the IoT devices. A model is generated, using at least a portion of the received training data. The model is usable to classify a given device.

Abstract: Techniques for providing Internet of Things (IoT) security are disclosed. An applicable system includes profiling IoT devices to limit the number of network signatures applicable to the IoT devices and performing pattern matching using a pattern that is appropriate for the profile of a given IoT device.

Abstract: Techniques for enforcing policies on Internet of Things (IoT) device communications are disclosed. Information associated with a network communication of an IoT device is received. The received information is used to determine a device profile, including a device type, to associate with the IoT device. A recommended security policy to be applied to the IoT device by a security appliance is generated.

Abstract: A system and method for performing automated learning of an Internet-of-Things (IoT) application are disclosed. The automated learning is based on generation of application-agnostic events, allowing the automated learning to be performed without prior knowledge of the IoT application.

Abstract: This application provides a communication method and a related apparatus. The method is applied to a terminal device. The method includes: sending paging capability information to an access network device, where the paging capability information indicates one or more paging capabilities supported by a terminal device; and receiving first information from the access network device, where the first information indicates that the access network device successfully maintains one or more paging capabilities. Based on the solutions in embodiments of this application, the terminal device and a network device can have a consistent understanding of a paging capability of the terminal device, to improve paging reliability.

Abstract: Provided is a sampling method for surface sediments in an intertidal zone based on an unmanned aerial vehicle platform, including: at low tide, automatically or manually moving an unmanned aerial vehicle to an appropriate height above a sampling position of the surface sediments in the intertidal zone according to a preset waypoint. The unmanned aerial vehicle platform is equipped with a winch, a releaser and a surface sampler. Operation process: the sampler is released, and the sampler is inserted into seabed by gravity to obtain a sample with a specified quality; the unmanned aerial vehicle rises vertically, and uses a lift to take the sample off an intertidal zone ground; the winch is started to recover the sampler to a bottom of the unmanned aerial vehicle; after the completion, the unmanned aerial vehicle automatically or manually returns to an initial position.

Abstract: Genetically modified animals and cells with humanized light chain immunoglobulin locus and/or humanized heavy chain immunoglobulin locus. The animals and cells can also express a human or chimeric (e.g., humanized) major histocompatibility complex (MHC) protein complex.

Abstract: A resin composition and an article made therefrom are provided. The resin composition includes: (A) 100 parts by weight of a copolymer, the copolymer having a structural unit formed by a monomer of Formula (1) and a structural unit formed by a monomer of Formula (2), and the content of the structural unit formed by the monomer of Formula (2) in the copolymer is 55 wt % to 90 wt %; and (B) 1 part by weight to 15 parts by weight of a compound of Formula (3). The resin composition may be used to make various articles, such as a prepreg, a resin film, a laminate or a printed circuit board, and at least one of the following improvements can be achieved, including glass transition temperature, storage modulus decay rate, reflow warpage magnitude, percent of thermal expansion in Z-axis, dissipation factor and laminate appearance.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for dietary tracking with instant dietary feedback using a portable multi-sensor device are described. An example method may include: obtaining a first machine learning model trained based on a plurality of food images and corresponding labels; receiving a series of images from one or more cameras capturing a user taking food out of a food-serving storage; determining, using the first machine learning model based on the series of images, an identification of the food being taken by the user; determining, using a second machine learning model based on the series of images and the identification of the food, an estimated weight of the food being taken by the user; determining and displaying portion-based food information of the food being taken by the user.

Abstract: Identifying Internet of Things (IoT) devices with packet flow behavior including by using machine learning models is disclosed. Information associated with a network communication of an IoT device is received. A determination of whether the IoT device has previously been classified is made. In response to determining that the IoT device has not previously been classified, a determination is made that a probability match for the IoT device against a behavior signature exceeds a threshold. The behavior signature includes at least one time series feature for an application used by the IoT device. Based at least in part on the probability match, a classification of the IoT device is provided to a security appliance configured to apply a policy to the IoT device.

Abstract: Techniques for enforcing policies on Internet of Things (IoT) device communications are disclosed. Information associated with a network communication of an IoT device is received. The received information is used to determine a device profile, including a device type, to associate with the IoT device. A recommended security policy to be applied to the IoT device by a security appliance is generated.

Abstract: An optical display apparatus is disclosed. A coupling apparatus couples light output by an image generation apparatus into an optical expansion waveguide. The optical expansion waveguide at least comprises a first reflective surface array and a second reflective surface array. Each reflective surface array is used for expanding, in an one-dimensional direction, light propagating through the optical expansion waveguide, so that the light entering into the optical expansion waveguide is expanded in a two-dimensional direction and is emitted outside of the optical expansion waveguide to form an image, wherein at least one of a first reflective surface of the first reflective surface array and a second reflective surface of the second reflective surface array is at least partially a curved surface, allowing the angle of emergence of the light to be changed by means of the first reflective surface or/and the second reflective surface.